FUZZY IDENTIFICATION OF A CSTR PROCESS USING DATA CLUSTERING

Data processing methods play an inevitable role in the control engineering tasks involving system modeling and identification. In the most of industrial processes, there is not a certain model available for control .So, classical system identification methods will not lead to satisfactory results. Therefore intelligent system identification methods will sufficiently model the process. In this paper, some methods for fuzzy clustering applications in system identification have been studied and applied to a chemical process. Among the methods, the Product – Space clustering, or Gustafson –Kessel algorithm has been more focused on. This algorithm has been applied to a chemical reactor data. All of the simulation results are presented.